Run proj_tidy.sh -c -p <path_to_project>. Check if any of the problems listed apply to your delivery.

Run check_bil_size.py -d <deliverylocation>. This will list any BIL files that don't match the size computed from the respective HDR file.

All level 1 files should be looked at visually using fastQC.

If any pixels appear to be constantly bad (c.f. 2009? dust on lens problems) then return to processor for re-processing calibration using a list of additional bad pixels to mask (see aplcal -qcfailures)

In this case additional information should be added into read me to explain why they are being masked

Check that underflows and overflows tabulated in ReadMe are sensible. Rerun autoQC with different settings or use fastQC if not.

Check all of the lev3 mapped files open and look OK (don't need to go through all the bands)

Make sure that all bands have been mapped (not just 3). You can use check_num_bands.py *bil to check the number of bands for all files.

Check the projection used is correct - especially the correct UTM zone for the data

If everything is ready to deliver, i.e. no more changing of ReadMe files, then in the sensor delivery directory run the script: zip_mapped.sh. This process should zip all of the mapped lines in the flightlines/mapped directory. Check the output.

Add a comment on the ticket saying what problems there are / things that need resolving / things that you have resolved yourself / whether the data is ready to deliver.

For LIDAR Data

Verify we have the correct PI (check against application, call Gloucester if unsure)

Ensure the text files are Windows compatible (use the 'file' command on the .txt files: they should be ASCII with CRLF terminators)

Check all the LIDAR files open/load, look OK and fit together horizontally and vertically. Either:

Use lag to view the data

Or run lidar_intensity.sh?. You need to generate these yourself from the ascii files, you can't just look at already created DEM/Screenshots.

Run the script check_ascii_lidar which will read in the ascii files and check all points have the correct number of records (9), report the min/max of the time/easting/northings and the number of points classified as noise.

Look at a couple of lines to check that obvious noise has been classified.

Check the DEM contents look OK

Check DEM in envi

check DEM header resolution is the same as in the Read_Me file - trim the ReadMe hdr resolution if in metres and unnecessary precision (e.g. 2.000124342 metres should be 2.0)

measurements are in metres, check they aren't too big (>2 metres for UK data, >8 metres for UTM) on the masked statistics.

Check the projection used is correct - especially the correct UTM zone for the data

Check that the coverage of the DEM is sufficient for processing the hyperspectral data.

Check the screenshots look OK

Run proj_tidy.sh -c -p <path_to_project>. Check if any of the problems listed apply to your delivery.

Add a comment on the ticket saying what problems there are / things that need resolving / things that you have resolved yourself / whether the data is ready to deliver

If the delivery is ready to deliver, update the dataset on the ​Processing status page to "Ready to deliver".
Full waveform deliveries only

Check some of the full waveform LAS files. Either:

Use WaveViewer (under Leica on the windows machine), scroll through a few files and check that the wave form exists and the peaks follow the discreet points.

Test the files for waveform data using laszip:

To run on all files use fw_laszip_check.sh -i <location of las1.3 files> -o <output directory>.

To run on an individual file us laszip -i <input file> -waveform -o <output file>

If successful, two files will be produced for each las1.3 file and no errors will be caused.

If fw_extractions folder is present: check the *_extractions.txt file - ensure all the listed folders/files are present. Check a couple of the ascii files to ensure they are readable. Check the *_extractions.jpg looks ok.

Use lasinfo to check the AGC value has been saved in the 'user_data' field (min and max values should be non-zero.

For Digital Photography Data

Verify we have the correct PI (check against application, call Gloucester if unsure)

View all of the thumbnail images. Look for any that are very over/under exposed or not relevant to the project. This could include: very bright images, very dark images, images of the instrument bay door, images not overlapping with any of the Eagle/Hawk data

Check one (or more) of the photographs for tagging information: exiftool photographs/FILENAME

View one of the photographs to check it opens OK.

Check file sizes of photographs look reasonable (224M) and there are no _tmp photo files.
This bash command will list the sizes of the photographs in descending order: ls -l | awk '{print $5}' | uniq | sort There should only be 224M outputted.

Run proj_tidy.sh -c -p <path_to_project>. Check if any of the problems listed apply to your delivery.

Open the kml file in googleearth and check it looks good and that thumbnails are displayed when the push pins are clicked.

If thumbnails are not visible open the kml file in a text editor. Check image source is the thumbnails directory and that image filenames are correct.

Check filenames correspond. If more than one project has been flown check that julian day has the letter after it (e.g. 298b). This will be in photograph, thumbnail and eventfile directories. Also check filenames in the eventfile have the julian day letter included.

Add a comment on the ticket saying what problems there are / things that need resolving / things that you have resolved yourself / whether the data is ready to deliver.